Building a chatbot is not nearly enough to draw attention to consumers. The ones who made it first have an excellent start ahead of the others.
But everyone needs to track and monitor the behavior of these programs so that they can improve it and deliver a better experience to their consumers.
This is where analytics comes in.
Analytics is used by organizations to improve the business performance. This is especially valuable in the computer programming segment. Analytics is proven to be useful in many other areas, as well, such as:
- Marketing Optimization
- People Analytics
- Risk Analytics
Analytics is found to have a profound use of machine learning techniques and AI programming. This is what chatbots are, as they are programs powered by AI and machine learning code.
If you will take this into consideration, here is a list of five platforms that you may use for your chatbot analytics:
1). Facebook Analytics
Facebook launched and lit up the fuzz about chatbots, so it was reasonable for them to provide analytics support for their chatbot.
What they did is that they extended the analytics made for Facebook Apps to provide analytics for the chatbots. You can use this tool to see the messaging performance on how many of them are sending and receiving, and another helpful tool is one which provides information if someone blocks the chatbot and even if they unblock it again.
They also made some exciting analytic features where you can track custom events and see the insight of the chatbot VS client engagement.
Some of the industries, like the travel industry or the customer service sector, can find this feature pretty helpful. They can see how many users were transferred to a real human agent about their inquiry.
2). Bot Analytics from Microsoft
Microsoft has some failed attempts to build the right platform for analytics of their bots. But they succeeded and having Microsoft in whatever follows after is a good reason to try their product.
Using their platform, you can quickly adjust the setting on how you want to monitor the chatbot’s behavior and the user interaction. They provided an easy menu with a couple of options:
- Specify Channel: Here you can check which channels you want to track
- Time Period: The menu where you can see the analytics for the time period you will choose. It can be the last hour or the last 90 days
- Grand Total: Here you can see the total number of active users
- Retention Rates: Track the users who returned and send a message again; they use a 10-day window frame for this statistic
- User Chart: With the user chart, you can see the chatbot and the use of it in different channels
- Messages: Here you can track the number of received and sent messages from and to the chatbot
3). Google’s Chat Base Analytics
Google has been in the analytics game for a while now, so they are expected to provide their services to the chatbot developers, too.
Google is dividing the analytics into three key sectors:
- Monitor the Health of the Chatbot: With this feature, you won’t be able to measure the blood pressure of the chatbot, but instead, you will receive data about retention, active users and sessions
- Fix Broken Experience: They made a solution where you can fix mistakes made by the chatbots by providing a prioritized list of inquiries or messages that weren’t handled well by the chatbot. With this, you can adjust the responses to the chatbot with the data provided
- Understand: By understanding, it means to understand optimizing and tacking of the users’ journey in all sessions
4). Dash Bot
Dash Bot is another company that wants to get in the analytics world and competes with the ones mentioned above. And, I may say, they are doing a good job.
Dash bot wants to help you increase user engagement, acquisition and monetization using their bot analytics. This is what they promise they can do for you:
- Gain Insights
- Increase Engagement
- Build a Better Bot
5). Bot Analytics
Analytics for conversation is what this company does. You can track the goals set by you with funnels and sophisticated segmentation in the conversation made by the chatbot and the user.
Analytics has been proven to be a useful tool, especially in the digital world. You need to use it so you can provide a better experience and improve the chatbot you have. If you don’t own your bot, you are at the right place to get started.